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Modelling and Implementing a Knowledge Base for Checking Medical Invoices with DLV Kern-Isberner, Gabriele Beierle, Christoph Dusso, Oliver Answer sets default rules health insurance rule schemas Checking medical invoices, done by every health insurance company, is a labor-intensive task. Both speed and quality of executing this task may be increased by the knowledge-based decision support system ACMI which we present in this paper. As the relevant regulations also contain various default rules, ACMI`s knowledge core is modelled using the answer set programming paradigm. It turned out that all relevant rules could be expressed directly in this framework, providing for a declarative and easily extendable and modifiable knowledge base. ACMI is implemented using the DLV system. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Gabriele Kern-Isberner and Christoph Beierle and Oliver Dusso 2005 Is Part Of Dagstuhl Seminar Proceedings, Volume 5171, Nonmonotonic Reasoning, Answer Set Programming and Constraints (2005) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagSemProc.05171.4 urn:nbn:de:0030-drops-2610 https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05171.4 eng https://creativecommons.org/licenses/by/4.0/legalcode